Senior Software Engineer – Platform & Microservices

Reposted 2 Days Ago
Be an Early Applicant
Hiring Remotely in India
Remote
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Design and maintain microservices using Java, Python, and Golang for e-commerce systems. Collaborate on integrations, implement security standards, and enhance system performance.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology and amazing people.

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

What you’ll be doing:

Design, build, and maintain RESTful and gRPC microservices using Java/J2EE, Python, and Golang for Marketplace Order Management, Fulfillment, and Product Catalog systems, collaborating with the Marketplace team to deliver fast, scalable, and reliable e-commerce capabilities. Lead partner integrations and ensure resilient, fault-tolerant order and fulfillment flows. Develop and maintain the Partner Portal for independent partner management of catalogs, pricing, and content. Apply AI tools and sophisticated algorithms to improve development efficiency and solution quality. Analyze end-to-end system architecture, inter-system dependencies, and data flows to ensure scalable solutions. Implement authentication, authorization, and security standards, including OAuth, SSO, and modern identity frameworks. Ensure code quality through detailed testing, regular code reviews, and adherence to established architectural and development guidelines.

What we need to see:

  • Bachelor’s degree or higher in Computer Science, Computer Engineering, or a related technical field.

  • 5 + years of experience in microservices architecture developed using Java Enterprise Edition and Python, Golang, preferably with exposure to e-commerce platforms in Scrum/Agile environments.

  • Experience designing, building, and maintaining RESTful APIs and integrating with third-party services.

  • Proven knowledge of SQL and NoSQL databases, data modeling, and performance optimization.

  • Expertise in logging, monitoring, and observability using tools like ELK Stack (Elasticsearch, Logstash, Kibana).

  • Strong understanding of authentication and authorization standards (OAuth, SSO, modern identity management).

  • Familiarity with cloud platforms (AWS, Azure, GCP) and containerization/orchestration (Docker, Kubernetes).

  • Strong interpersonal skills and attention to detail, with the ability to lead multiple development tasks in parallel.

Ways to stand out from the crowd:

  • Demonstrate strong system build skills for scalable microservices with well-defined API contracts, fault tolerance, and cloud-native patterns (caching, retries, circuit breakers, async processing).

  • Take ownership from building to production, covering data models, service boundaries, CI/CD pipelines, observability, and performance tuning, to ensure reliability, scalability, and maintainability.

  • Proactively improve latency, efficiency, and stability using profiling, load testing, and efficient resource utilization, while implementing robust monitoring and automated recovery.

  • Apply strong analytical and problem-solving skills to quickly learn new technologies and leverage AI-assisted tools to boost development speed and quality.

Top Skills

AWS
Azure
Docker
Elk Stack
GCP
Go
Java/J2Ee
Kubernetes
NoSQL
Python
Restful Apis
SQL
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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